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Record W2925135559 · doi:10.14740/ijcp325

Rapid Response to Low-Dose Rituximab Following Development of Severe Hemophagocytic Lymphohistiocytosis Due to Epstein-Barr Virus Infection

2019· article· en· W2925135559 on OpenAlexvenueno aff
Hidemasa Namiki, Hiroshi Yagasaki, Maiko Hirai, Ichiro Morioka

Bibliographic record

VenueInternational Journal of Clinical Pediatrics · 2019
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
FundersTokyo Medical and Dental University
KeywordsHemophagocytic lymphohistiocytosisMedicinePancytopeniaCoagulopathyRituximabEpstein–Barr virusImmunologyVirusRefractory (planetary science)LymphomaVirologyInternal medicineBone marrow

Abstract

fetched live from OpenAlex

Viral infection-associated hemophagocytic lymphohistiocytosis is often observed in children. When Epstein-Barr virus is the pathogen, patients can develop serious coagulopathy and pancytopenia. Usually such patients respond to standard steroid therapy, but alternative therapy for steroid-refractory cases is limited. Here we present the clinical observation of a Japanese girl who was successfully treated with rituximab after she failed to respond to standard steroid therapy. Int J Clin Pediatr. 2019;8(1):8-11 doi: https://doi.org/10.14740/ijcp325

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.383
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2019
Admission routes1
Has abstractyes

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